Monitoring and Hazard Area Analysis of Forest Soil Sediment Disaster Using Remote Sensing Data

This study aimed to monitor the forest soil sediment disaster caused by Typhoon Hinnamnor in 2022 in Tohamsan, Gyeongju-si, and Gyeongsangbuk-do and analyze high-risk areas to develop effective disaster prevention strategies.The study used remote sensing data (RSD) from various sources, including PlanetScope and Sentinel satellite images, orthophotos from the National Geographic Information Institute (NGII), and drone images.We identified pre-and post-disaster changes and damage patterns through time-series image analysis.The analysis showed that landslide hazards predominantly flow downstream along valley channels, with some independent occurrences at valley heads and outside valley areas.Based on these findings, we classified hazard-prone areas into three types: (a) along valley channels, (b) at valley heads, and (c) outside valley areas, proposing tailored disaster prevention measures for each.Emphasizing the need to protect nearby cultural heritage sites and residential areas, this study highlights that these monitoring results can support the development of a national disaster management framework.This research will serve as foundational data for future landslide hazard prevention and recovery planning.